Using default mask: /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/brainmask_canlab.nii Direct calls to spm_defauts are deprecated. Please use spm('Defaults',modality) or spm_get_defaults instead. loading mask. mapping volumes. checking that dimensions and voxel sizes of volumes are the same. Pre-allocating data array. Needed: 28753056 bytes Loading image number: 72 Elapsed time is 2.402374 seconds. Image names entered, but fullpath attribute is empty. Getting path info. Number of unique values in dataset: 6896897 Bit rate: 22.72 bits

Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 15:50:02 - 02/11/2023 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 Grouping contiguous voxels: 1 regions

______________________________________________________________ Outlier analysis ______________________________________________________________ global mean | global mean to var | spatial MAD | Missing values | 0 images Retained 4 components for mahalanobis distance Expected 50% of points within 50% normal ellipsoid, found 20.83% Expected 3.60 outside 95% ellipsoid, found 5 Potential outliers based on mahalanobis distance: Bonferroni corrected: 2 images Cases 36 44 Uncorrected: 5 images Cases 36 37 44 48 68 Retained 11 components for mahalanobis distance Expected 50% of points within 50% normal ellipsoid, found 54.17% Expected 3.60 outside 95% ellipsoid, found 0 Potential outliers based on mahalanobis distance: Bonferroni corrected: 0 images Cases Uncorrected: 0 images Cases Mahalanobis (cov and corr, q<0.05 corrected): 2 images Outlier_count Percentage _____________ __________ global_mean 2 2.7778 global_mean_to_variance 0 0 missing_values 0 0 rmssd_dvars 0 0 spatial_variability 3 4.1667 mahal_cov_uncor 5 6.9444 mahal_cov_corrected 2 2.7778 mahal_corr_uncor 0 0 mahal_corr_corrected 0 0 Overall_uncorrected 5 6.9444 Overall_corrected 3 4.1667

Compressed NIfTI files are not supported. Compressed NIfTI files are not supported. Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 15:50:26 - 02/11/2023 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 (all) /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 Grouping contiguous voxels: 1 regions Grouping contiguous voxels: 1 regions Grouping contiguous voxels: 1 regions

current length is 72

after removing 3 participants, size is now 69

"participants that are outliers:... sub-0082" "participants that are outliers:... sub-0093" "participants that are outliers:... sub-0098"

{'sub-0082'} {'sub-0093'} {'sub-0098'}

One-sample t-test Calculating t-statistics and p-values

Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 15:50:30 - 02/11/2023 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1

Image 1 FDR q < 0.050 threshold is 0.002851 Image 1 112 contig. clusters, sizes 1 to 2520 Positive effect: 5021 voxels, min p-value: 0.00000000 Negative effect: 671 voxels, min p-value: 0.00000000

Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 15:50:31 - 02/11/2023 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1

Image 1 FDR q < 0.001 threshold is 0.000005 Image 1 9 contig. clusters, sizes 1 to 260 Positive effect: 277 voxels, min p-value: 0.00000000 Negative effect: 271 voxels, min p-value: 0.00000000

Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 15:50:32 - 02/11/2023 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1

Setting up fmridisplay objects Compressed NIfTI files are not supported. sagittal montage: 0 voxels displayed, 548 not displayed on these slices sagittal montage: 0 voxels displayed, 548 not displayed on these slices sagittal montage: 0 voxels displayed, 548 not displayed on these slices axial montage: 115 voxels displayed, 433 not displayed on these slices axial montage: 131 voxels displayed, 417 not displayed on these slices

Input image 1 fullpath_was_empty _____________________________________________________________________ testr_low words_low testr_high words_high _________ _______________ __________ ______________ -0.097326 {'selection' } 0.11814 {'body' } -0.094948 {'time' } 0.11486 {'gestures' } -0.086903 {'age' } 0.11158 {'gesture' } -0.085876 {'development'} 0.10731 {'perception'} -0.084058 {'english' } 0.10676 {'nogo' } -0.077025 {'decision' } 0.103 {'biological'} -0.076842 {'languages' } 0.1027 {'masked' } -0.070151 {'chinese' } 0.096733 {'salient' } -0.069668 {'children' } 0.09438 {'sexual' } -0.06946 {'distractor' } 0.090781 {'actions' }

Loaded images: /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pMCC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_aMCC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pACC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_sgACC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_vmPFC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_dMFC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_MFC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_Wholebrain_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pMCC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_aMCC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pACC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_sgACC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_vmPFC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_dMFC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_MFC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_Wholebrain_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pMCC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_aMCC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pACC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_sgACC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_vmPFC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_dMFC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_MFC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_Wholebrain_Negative_Emotion.nii

Table of correlations Group:1 -------------------------------------- T-test on Fisher's r to Z transformed point-biserial correlations R_avg T P sig Pain Wholebrain 0.0078 1.3362 0.1858 0.0000 Cog Wholebrain -0.0147 -3.5282 0.0007 1.0000 *** Emo Wholebrain 0.0058 1.0528 0.2960 0.0000

Col 1: Pain Wholebrain Col 2: Cog Wholebrain Col 3: Emo Wholebrain --------------------------------------------- Tests of column means against zero --------------------------------------------- Name Mean_Value Std_Error T P Cohens_d ___________________ __________ _________ _______ __________ ________ {'Pain Wholebrain'} 0.0078077 0.0058408 1.3368 0.18557 0.15754 {'Cog Wholebrain' } -0.01473 0.0041711 -3.5315 0.00073055 -0.41619 {'Emo Wholebrain' } 0.0058031 0.0055186 1.0515 0.29657 0.12393

Warning: Some images have zero values in some of the 411578 voxels in weight mask. These will be excluded from similarity analysis image-wise. Number of zero or NaN values within weight mask, by input image: 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 Warning: Some images have zero values in some of the 411578 voxels in weight mask. These will be excluded from similarity analysis image-wise. Number of zero or NaN values within weight mask, by input image: 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 Warning: Some images have zero values in some of the 411578 voxels in weight mask. These will be excluded from similarity analysis image-wise. Number of zero or NaN values within weight mask, by input image: 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83

Col 1: Pain Wholebrain Col 2: Cog Wholebrain Col 3: Emo Wholebrain --------------------------------------------- Tests of column means against zero --------------------------------------------- Name Mean_Value Std_Error T P Cohens_d ___________________ __________ _________ _______ _________ ________ {'Pain Wholebrain'} 0.0074586 0.0057752 1.2915 0.20072 0.1522 {'Cog Wholebrain' } -0.013329 0.003956 -3.3692 0.0012216 -0.39706 {'Emo Wholebrain' } 0.0051335 0.0056034 0.91613 0.3627 0.10797

Using default mask: /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/brainmask_canlab.nii Direct calls to spm_defauts are deprecated. Please use spm('Defaults',modality) or spm_get_defaults instead. loading mask. mapping volumes. checking that dimensions and voxel sizes of volumes are the same. Pre-allocating data array. Needed: 28753056 bytes Loading image number: 72 Elapsed time is 2.608826 seconds. Image names entered, but fullpath attribute is empty. Getting path info. Number of unique values in dataset: 6900404 Bit rate: 22.72 bits

Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 15:51:08 - 02/11/2023 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 Grouping contiguous voxels: 1 regions

______________________________________________________________ Outlier analysis ______________________________________________________________ global mean | global mean to var | spatial MAD | Missing values | 0 images Retained 3 components for mahalanobis distance Expected 50% of points within 50% normal ellipsoid, found 25.00% Expected 3.60 outside 95% ellipsoid, found 9 Potential outliers based on mahalanobis distance: Bonferroni corrected: 3 images Cases 8 34 39 Uncorrected: 9 images Cases 8 16 18 34 36 39 48 65 68 Retained 16 components for mahalanobis distance Expected 50% of points within 50% normal ellipsoid, found 52.78% Expected 3.60 outside 95% ellipsoid, found 1 Potential outliers based on mahalanobis distance: Bonferroni corrected: 0 images Cases Uncorrected: 1 images Cases 5 Mahalanobis (cov and corr, q<0.05 corrected): 3 images Outlier_count Percentage _____________ __________ global_mean 4 5.5556 global_mean_to_variance 0 0 missing_values 0 0 rmssd_dvars 0 0 spatial_variability 4 5.5556 mahal_cov_uncor 9 12.5 mahal_cov_corrected 3 4.1667 mahal_corr_uncor 1 1.3889 mahal_corr_corrected 0 0 Overall_uncorrected 10 13.889 Overall_corrected 5 6.9444

Compressed NIfTI files are not supported. Compressed NIfTI files are not supported. Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 15:51:35 - 02/11/2023 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 (all) /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 Grouping contiguous voxels: 1 regions Grouping contiguous voxels: 1 regions Grouping contiguous voxels: 1 regions

current length is 72

after removing 5 participants, size is now 67

"participants that are outliers:... su…" "participants that are outliers:... su…" "participants that are outliers:... su…" "participants that are outliers:... su…" "participants that are outliers:... su…"

{'sub-0035'} {'sub-0080'} {'sub-0086'} {'sub-0098'} {'sub-0123'}

One-sample t-test Calculating t-statistics and p-values

Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 15:51:39 - 02/11/2023 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1

Image 1 FDR q < 0.050 threshold is 0.000201 Image 1 12 contig. clusters, sizes 1 to 161 Positive effect: 308 voxels, min p-value: 0.00000000 Negative effect: 94 voxels, min p-value: 0.00001121

Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 15:51:40 - 02/11/2023 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1

Setting up fmridisplay objects Compressed NIfTI files are not supported. sagittal montage: 0 voxels displayed, 402 not displayed on these slices sagittal montage: 0 voxels displayed, 402 not displayed on these slices sagittal montage: 0 voxels displayed, 402 not displayed on these slices axial montage: 85 voxels displayed, 317 not displayed on these slices axial montage: 87 voxels displayed, 315 not displayed on these slices

Input image 1 fullpath_was_empty _____________________________________________________________________ testr_low words_low testr_high words_high _________ ______________ __________ _______________ -0.13549 {'actions' } 0.090964 {'dopamine' } -0.10609 {'action' } 0.086193 {'age' } -0.10014 {'gesture' } 0.08542 {'depression' } -0.09958 {'gestures' } 0.082329 {'decision' } -0.093939 {'nogo' } 0.080135 {'probability'} -0.093746 {'body' } 0.079719 {'outcome' } -0.09148 {'rest' } 0.079306 {'languages' } -0.088971 {'videos' } 0.07402 {'monetary' } -0.081234 {'biological'} 0.073896 {'reward' } -0.078146 {'mirror' } 0.073883 {'selection' }

Loaded images: /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pMCC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_aMCC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pACC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_sgACC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_vmPFC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_dMFC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_MFC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_Wholebrain_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pMCC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_aMCC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pACC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_sgACC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_vmPFC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_dMFC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_MFC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_Wholebrain_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pMCC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_aMCC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pACC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_sgACC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_vmPFC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_dMFC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_MFC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_Wholebrain_Negative_Emotion.nii

Table of correlations Group:1 -------------------------------------- T-test on Fisher's r to Z transformed point-biserial correlations R_avg T P sig Pain Wholebrain -0.0047 -0.6872 0.4942 0.0000 Cog Wholebrain 0.0065 1.9184 0.0591 0.0000 Emo Wholebrain -0.0014 -0.2286 0.8198 0.0000

Col 1: Pain Wholebrain Col 2: Cog Wholebrain Col 3: Emo Wholebrain --------------------------------------------- Tests of column means against zero --------------------------------------------- Name Mean_Value Std_Error T P Cohens_d ___________________ __________ _________ ________ ________ _________ {'Pain Wholebrain'} -0.0046898 0.0068556 -0.68409 0.49615 -0.08062 {'Cog Wholebrain' } 0.0065347 0.0034067 1.9182 0.059107 0.22606 {'Emo Wholebrain' } -0.0014139 0.0061671 -0.22926 0.81933 -0.027018

Warning: Some images have zero values in some of the 411578 voxels in weight mask. These will be excluded from similarity analysis image-wise. Number of zero or NaN values within weight mask, by input image: 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 Warning: Some images have zero values in some of the 411578 voxels in weight mask. These will be excluded from similarity analysis image-wise. Number of zero or NaN values within weight mask, by input image: 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 Warning: Some images have zero values in some of the 411578 voxels in weight mask. These will be excluded from similarity analysis image-wise. Number of zero or NaN values within weight mask, by input image: 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83

Col 1: Pain Wholebrain Col 2: Cog Wholebrain Col 3: Emo Wholebrain --------------------------------------------- Tests of column means against zero --------------------------------------------- Name Mean_Value Std_Error T P Cohens_d ___________________ __________ _________ ________ ________ _________ {'Pain Wholebrain'} -0.0059372 0.0066877 -0.88779 0.37765 -0.10463 {'Cog Wholebrain' } 0.0056382 0.0032126 1.755 0.083569 0.20683 {'Emo Wholebrain' } 0.00049394 0.0059324 0.083262 0.93388 0.0098125

Using default mask: /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/brainmask_canlab.nii Direct calls to spm_defauts are deprecated. Please use spm('Defaults',modality) or spm_get_defaults instead. loading mask. mapping volumes. checking that dimensions and voxel sizes of volumes are the same. Pre-allocating data array. Needed: 28753056 bytes Loading image number: 72 Elapsed time is 2.490657 seconds. Image names entered, but fullpath attribute is empty. Getting path info. Number of unique values in dataset: 6901443 Bit rate: 22.72 bits

Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 15:52:15 - 02/11/2023 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 Grouping contiguous voxels: 1 regions

______________________________________________________________ Outlier analysis ______________________________________________________________ global mean | global mean to var | spatial MAD | Missing values | 0 images Retained 5 components for mahalanobis distance Expected 50% of points within 50% normal ellipsoid, found 22.22% Expected 3.60 outside 95% ellipsoid, found 7 Potential outliers based on mahalanobis distance: Bonferroni corrected: 3 images Cases 36 39 44 Uncorrected: 7 images Cases 18 34 36 37 39 44 65 Retained 10 components for mahalanobis distance Expected 50% of points within 50% normal ellipsoid, found 56.94% Expected 3.60 outside 95% ellipsoid, found 0 Potential outliers based on mahalanobis distance: Bonferroni corrected: 0 images Cases Uncorrected: 0 images Cases Mahalanobis (cov and corr, q<0.05 corrected): 3 images Outlier_count Percentage _____________ __________ global_mean 4 5.5556 global_mean_to_variance 2 2.7778 missing_values 0 0 rmssd_dvars 0 0 spatial_variability 3 4.1667 mahal_cov_uncor 7 9.7222 mahal_cov_corrected 3 4.1667 mahal_corr_uncor 0 0 mahal_corr_corrected 0 0 Overall_uncorrected 7 9.7222 Overall_corrected 4 5.5556

Compressed NIfTI files are not supported. Compressed NIfTI files are not supported. Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 15:52:42 - 02/11/2023 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 (all) /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 Grouping contiguous voxels: 1 regions Grouping contiguous voxels: 1 regions Grouping contiguous voxels: 1 regions

current length is 72

after removing 4 participants, size is now 68

"participants that are outliers:... sub-0082" "participants that are outliers:... sub-0084" "participants that are outliers:... sub-0086" "participants that are outliers:... sub-0093"

{'sub-0082'} {'sub-0084'} {'sub-0086'} {'sub-0093'}

One-sample t-test Calculating t-statistics and p-values

Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 15:52:45 - 02/11/2023 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1

Image 1 FDR q < 0.050 threshold is 0.000000 Image 1 0 contig. clusters, sizes to Positive effect: 0 voxels, min p-value: 0.00007772 Negative effect: 0 voxels, min p-value: 0.00003052

Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 15:52:46 - 02/11/2023 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1

Setting up fmridisplay objects Compressed NIfTI files are not supported.

Input image 1 fullpath_was_empty _____________________________________________________________________ testr_low words_low testr_high words_high _________ _______________ __________ _____________ -0.14379 {'pain' } 0.13256 {'visual' } -0.12341 {'rating' } 0.11599 {'eye' } -0.12171 {'painful' } 0.11384 {'spatial' } -0.11981 {'ratings' } 0.099954 {'shape' } -0.10972 {'noxious' } 0.097815 {'time' } -0.10548 {'sadness' } 0.095211 {'color' } -0.10325 {'heat' } 0.09252 {'object' } -0.10141 {'painrelated'} 0.090739 {'target' } -0.10125 {'unpleasant' } 0.08731 {'attention'} -0.10062 {'sensation' } 0.08518 {'objects' }

Loaded images: /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pMCC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_aMCC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pACC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_sgACC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_vmPFC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_dMFC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_MFC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_Wholebrain_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pMCC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_aMCC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pACC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_sgACC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_vmPFC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_dMFC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_MFC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_Wholebrain_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pMCC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_aMCC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pACC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_sgACC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_vmPFC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_dMFC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_MFC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_Wholebrain_Negative_Emotion.nii

Table of correlations Group:1 -------------------------------------- T-test on Fisher's r to Z transformed point-biserial correlations R_avg T P sig Pain Wholebrain -0.0051 -0.7830 0.4362 0.0000 Cog Wholebrain 0.0083 2.3471 0.0217 1.0000 * Emo Wholebrain -0.0026 -0.4048 0.6868 0.0000

Col 1: Pain Wholebrain Col 2: Cog Wholebrain Col 3: Emo Wholebrain --------------------------------------------- Tests of column means against zero --------------------------------------------- Name Mean_Value Std_Error T P Cohens_d ___________________ __________ _________ ________ ________ _________ {'Pain Wholebrain'} -0.0050829 0.0064356 -0.78981 0.43227 -0.093081 {'Cog Wholebrain' } 0.0082967 0.0035346 2.3473 0.021703 0.27663 {'Emo Wholebrain' } -0.0026199 0.0064992 -0.40311 0.68808 -0.047507

Warning: Some images have zero values in some of the 411578 voxels in weight mask. These will be excluded from similarity analysis image-wise. Number of zero or NaN values within weight mask, by input image: 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 Warning: Some images have zero values in some of the 411578 voxels in weight mask. These will be excluded from similarity analysis image-wise. Number of zero or NaN values within weight mask, by input image: 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 Warning: Some images have zero values in some of the 411578 voxels in weight mask. These will be excluded from similarity analysis image-wise. Number of zero or NaN values within weight mask, by input image: 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83

Col 1: Pain Wholebrain Col 2: Cog Wholebrain Col 3: Emo Wholebrain --------------------------------------------- Tests of column means against zero --------------------------------------------- Name Mean_Value Std_Error T P Cohens_d ___________________ __________ _________ ________ ________ _________ {'Pain Wholebrain'} -0.0050371 0.0063296 -0.7958 0.4288 -0.093786 {'Cog Wholebrain' } 0.0078987 0.0034451 2.2927 0.024829 0.2702 {'Emo Wholebrain' } -0.002451 0.0063485 -0.38607 0.7006 -0.045499

Using default mask: /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/brainmask_canlab.nii Direct calls to spm_defauts are deprecated. Please use spm('Defaults',modality) or spm_get_defaults instead. loading mask. mapping volumes. checking that dimensions and voxel sizes of volumes are the same. Pre-allocating data array. Needed: 28753056 bytes Loading image number: 72 Elapsed time is 2.347508 seconds. Image names entered, but fullpath attribute is empty. Getting path info. Number of unique values in dataset: 6888883 Bit rate: 22.72 bits

Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 15:53:20 - 02/11/2023 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 Grouping contiguous voxels: 1 regions

______________________________________________________________ Outlier analysis ______________________________________________________________ global mean | global mean to var | spatial MAD | Missing values | 0 images Retained 3 components for mahalanobis distance Expected 50% of points within 50% normal ellipsoid, found 40.28% Expected 3.60 outside 95% ellipsoid, found 8 Potential outliers based on mahalanobis distance: Bonferroni corrected: 0 images Cases Uncorrected: 8 images Cases 8 13 16 18 21 34 40 46 Retained 6 components for mahalanobis distance Expected 50% of points within 50% normal ellipsoid, found 41.67% Expected 3.60 outside 95% ellipsoid, found 5 Potential outliers based on mahalanobis distance: Bonferroni corrected: 1 images Cases 13 Uncorrected: 5 images Cases 13 38 58 63 67 Mahalanobis (cov and corr, q<0.05 corrected): 1 images Outlier_count Percentage _____________ __________ global_mean 4 5.5556 global_mean_to_variance 3 4.1667 missing_values 0 0 rmssd_dvars 0 0 spatial_variability 1 1.3889 mahal_cov_uncor 8 11.111 mahal_cov_corrected 0 0 mahal_corr_uncor 5 6.9444 mahal_corr_corrected 1 1.3889 Overall_uncorrected 12 16.667 Overall_corrected 2 2.7778

Compressed NIfTI files are not supported. Compressed NIfTI files are not supported. Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 15:53:47 - 02/11/2023 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 (all) /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1 Grouping contiguous voxels: 1 regions Grouping contiguous voxels: 1 regions Grouping contiguous voxels: 1 regions

current length is 72

after removing 2 participants, size is now 70

"participants that are outliers:... sub-0044" "participants that are outliers:... sub-0088"

{'sub-0044'} {'sub-0088'}

One-sample t-test Calculating t-statistics and p-values

Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 15:53:51 - 02/11/2023 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1

Image 1 FDR q < 0.050 threshold is 0.041520 Image 1 8 contig. clusters, sizes 1 to 82870 Positive effect: 69078 voxels, min p-value: 0.00000000 Negative effect: 13838 voxels, min p-value: 0.00000000

Compressed NIfTI files are not supported. SPM12: spm_check_registration (v7759) 15:53:52 - 02/11/2023 ======================================================================== Display /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/fmriprep20_template.nii.gz,1

Setting up fmridisplay objects Compressed NIfTI files are not supported. sagittal montage: 2055 voxels displayed, 80861 not displayed on these slices sagittal montage: 2110 voxels displayed, 80806 not displayed on these slices sagittal montage: 1979 voxels displayed, 80937 not displayed on these slices axial montage: 15292 voxels displayed, 67624 not displayed on these slices axial montage: 16716 voxels displayed, 66200 not displayed on these slices

Input image 1 fullpath_was_empty _____________________________________________________________________ testr_low words_low testr_high words_high _________ ______________ __________ ________________ -0.33957 {'trait' } 0.39796 {'movements' } -0.3256 {'positive' } 0.37099 {'execution' } -0.32456 {'negative' } 0.36466 {'hand' } -0.31252 {'age' } 0.34996 {'motor' } -0.30539 {'personal' } 0.32699 {'finger' } -0.2965 {'depression'} 0.31052 {'visual' } -0.29385 {'person' } 0.30197 {'sensorimotor'} -0.2933 {'emotion' } 0.28518 {'action' } -0.29102 {'disorder' } 0.28434 {'hands' } -0.2854 {'affect' } 0.27919 {'preparation' }

Loaded images: /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pMCC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_aMCC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pACC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_sgACC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_vmPFC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_dMFC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_MFC_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_Wholebrain_Pain.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pMCC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_aMCC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pACC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_sgACC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_vmPFC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_dMFC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_MFC_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_Wholebrain_Cognitive_Control.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pMCC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_aMCC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_pACC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_sgACC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_vmPFC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_dMFC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_MFC_Negative_Emotion.nii /Users/h/Documents/MATLAB/Neuroimaging_Pattern_Masks/Multivariate_signature_patterns/2018_Kragel_MFC_Generalizability/bPLS_Wholebrain_Negative_Emotion.nii

Table of correlations Group:1 -------------------------------------- T-test on Fisher's r to Z transformed point-biserial correlations R_avg T P sig Pain Wholebrain -0.0082 -1.8276 0.0718 0.0000 Cog Wholebrain 0.0299 11.6792 0.0000 1.0000 *** Emo Wholebrain -0.0190 -4.3232 0.0000 1.0000 ***

Col 1: Pain Wholebrain Col 2: Cog Wholebrain Col 3: Emo Wholebrain --------------------------------------------- Tests of column means against zero --------------------------------------------- Name Mean_Value Std_Error T P Cohens_d ___________________ __________ _________ _______ __________ ________ {'Pain Wholebrain'} -0.008244 0.0045121 -1.8271 0.071892 -0.21532 {'Cog Wholebrain' } 0.029943 0.002562 11.687 2.2204e-15 1.3774 {'Emo Wholebrain' } -0.019015 0.0043979 -4.3236 4.9163e-05 -0.50955

Warning: Some images have zero values in some of the 411578 voxels in weight mask. These will be excluded from similarity analysis image-wise. Number of zero or NaN values within weight mask, by input image: 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 Warning: Some images have zero values in some of the 411578 voxels in weight mask. These will be excluded from similarity analysis image-wise. Number of zero or NaN values within weight mask, by input image: 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 Warning: Some images have zero values in some of the 411578 voxels in weight mask. These will be excluded from similarity analysis image-wise. Number of zero or NaN values within weight mask, by input image: 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83 83

Col 1: Pain Wholebrain Col 2: Cog Wholebrain Col 3: Emo Wholebrain --------------------------------------------- Tests of column means against zero --------------------------------------------- Name Mean_Value Std_Error T P Cohens_d ___________________ __________ _________ _______ __________ ________ {'Pain Wholebrain'} -0.0041255 0.004078 -1.0117 0.31514 -0.11923 {'Cog Wholebrain' } 0.026864 0.002331 11.524 2.2204e-15 1.3582 {'Emo Wholebrain' } -0.020797 0.0040213 -5.1717 2.0547e-06 -0.60949